4,289 research outputs found

    Analog/RF Circuit Design Techniques for Nanometerscale IC Technologies

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    CMOS evolution introduces several problems in analog design. Gate-leakage mismatch exceeds conventional matching tolerances requiring active cancellation techniques or alternative architectures. One strategy to deal with the use of lower supply voltages is to operate critical parts at higher supply voltages, by exploiting combinations of thin- and thick-oxide transistors. Alternatively, low voltage circuit techniques are successfully developed. In order to benefit from nanometer scale CMOS technology, more functionality is shifted to the digital domain, including parts of the RF circuits. At the same time, analog control for digital and digital control for analog emerges to deal with current and upcoming imperfections

    Limits on Fundamental Limits to Computation

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    An indispensable part of our lives, computing has also become essential to industries and governments. Steady improvements in computer hardware have been supported by periodic doubling of transistor densities in integrated circuits over the last fifty years. Such Moore scaling now requires increasingly heroic efforts, stimulating research in alternative hardware and stirring controversy. To help evaluate emerging technologies and enrich our understanding of integrated-circuit scaling, we review fundamental limits to computation: in manufacturing, energy, physical space, design and verification effort, and algorithms. To outline what is achievable in principle and in practice, we recall how some limits were circumvented, compare loose and tight limits. We also point out that engineering difficulties encountered by emerging technologies may indicate yet-unknown limits.Comment: 15 pages, 4 figures, 1 tabl

    An Enhanced Statistical Phonon Transport Model for Nanoscale Thermal Transport and Design

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    Managing thermal energy generation and transfer within the nanoscale devices (transistors) of modern microelectronics is important as it limits speed, carrier mobility, and affects reliability. Application of Fourierโ€™s Law of Heat Conduction to the small length and times scales associated with transistor geometries and switching frequencies doesnโ€™t give accurate results due to the breakdown of the continuum assumption and the assumption of local thermodynamic equilibrium. Heat conduction at these length and time scales occurs via phonon transport, including both classical and quantum effects. Traditional methods for phonon transport modeling are lacking in the combination of computational efficiency, physical accuracy, and flexibility. The Statistical Phonon Transport Model (SPTM) is an engineering design tool for predicting non-equilibrium phonon transport. The goal of this work has been to enhance the models and computational algorithms of the SPTM to elevate it to have a high combination of accuracy and flexibility. Four physical models of the SPTM were enhanced. The lattice dynamics calculation of phonon dispersion relations was extended to use first and second nearest neighbor interactions, based on published interatomic force constants computed with first principles Density Functional Theory (DFT). The computation of three phonon scattering partners (that explicitly conserve energy and momentum) with the inclusion of the three optical phonon branches was applied using scattering rates computed from Fermiโ€™s Golden Rule. The prediction of phonon drift was extended to three dimensions within the framework of the previously established methods of the SPTM. Joule heating as a result of electron-phonon scattering in nanoscale electronic devices was represented using a modal specific phonon source that can be varied in space and time. Results indicate the use of first and second nearest neighbor lattice dynamics better predicted dispersion when compared to experimental results and resulted in a higher fidelity representation of phonon group velocities and three phonon scattering partners in an anisotropic manner. Three phonon scattering improvements resulted in enhanced fidelity in the prediction of phonon modal decay rates across the wavevector space and thus better representation of non-equilibrium behavior. Comparisons to the range of phonon transport modeling approaches from literature verify that the SPTM has higher phonon fidelity than Boltzmann Transport Equation and Monte Carlo and higher length scale and time scale fidelity than Direct Atomic Simulation. Additional application of the SPTM to both a 1-d silicon nanowire transistor and a 3-d FinFET array transistor in a transient manner illustrate the design capabilities. Thus, the SPTM has been elevated to fill the gap between lower phonon fidelity Monte Carol (MC) models and high fidelity, inflexible direct quantum simulations (or Direct Atomic Simulations (DAS)) within the field of phonon transport modeling for nanoscale electronic devices. The SPTM has produced high fidelity device level non-equilibrium phonon information in a 3-d, transient manner where Joule heating occurs. This information is required due to the fact that effective lattice temperatures are not adequate to describe the local thermal conditions. Knowledge of local phonon distributions, which canโ€™t be determined from application of Fourierโ€™s law, is important because of effects on electron mobility, device speed, leakage, and reliability

    Technology CAD of Nanowire FinFETs

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    Miniaturized Transistors, Volume II

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    In this book, we aim to address the ever-advancing progress in microelectronic device scaling. Complementary Metal-Oxide-Semiconductor (CMOS) devices continue to endure miniaturization, irrespective of the seeming physical limitations, helped by advancing fabrication techniques. We observe that miniaturization does not always refer to the latest technology node for digital transistors. Rather, by applying novel materials and device geometries, a significant reduction in the size of microelectronic devices for a broad set of applications can be achieved. The achievements made in the scaling of devices for applications beyond digital logic (e.g., high power, optoelectronics, and sensors) are taking the forefront in microelectronic miniaturization. Furthermore, all these achievements are assisted by improvements in the simulation and modeling of the involved materials and device structures. In particular, process and device technology computer-aided design (TCAD) has become indispensable in the design cycle of novel devices and technologies. It is our sincere hope that the results provided in this Special Issue prove useful to scientists and engineers who find themselves at the forefront of this rapidly evolving and broadening field. Now, more than ever, it is essential to look for solutions to find the next disrupting technologies which will allow for transistor miniaturization well beyond siliconโ€™s physical limits and the current state-of-the-art. This requires a broad attack, including studies of novel and innovative designs as well as emerging materials which are becoming more application-specific than ever before

    ๋†’์€ ์ „๋ฅ˜ ๊ตฌ๋™๋Šฅ๋ ฅ์„ ๊ฐ€์ง€๋Š” SiGe ๋‚˜๋…ธ์‹œํŠธ ๊ตฌ์กฐ์˜ ํ„ฐ๋„๋ง ์ „๊ณ„ํšจ๊ณผ ํŠธ๋žœ์ง€์Šคํ„ฐ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2021. 2. ๋ฐ•๋ณ‘๊ตญ.The development of very-large-scale integration (VLSI) technology has continuously demanded smaller devices to achieve high integration density for faster computing speed or higher capacity. However, in the recent complementary-metal-oxide-semiconductor (CMOS) technology, simple downsizing the dimension of metal-oxide-semiconductor field-effect transistor (MOSFET) no longer guarantees the boosting performance of IC chips. In particular, static power consumption is not reduced while device size is decreasing because voltage scaling is slowed down at some point. The increased off-current due to short-channel effect (SCE) of MOSFET is a representative cause of the difficulty in voltage scaling. To overcome these fundamental limits of MOSFET, many researchers have been looking for the next generation of FET device over the last ten years. Tunnel field-effect transistor (TFET) has been intensively studied for its steep switching characteristics. Nevertheless, the poor current drivability of TFET is the most serious obstacle to become competitive device for MOSFET. In this thesis, TFET with high current drivability in which above-mentioned problem is significantly solved is proposed. Vertically-stacked SiGe nanosheet channels are used to boost carrier injection and gate control. The fabrication technique to form highly-condensed SiGe nanosheets is introduced. TFET is fabricated with MOSFET with the same structure in the CMOS-compatible process. Both technology-computer-aided-design (TCAD) simulation and experimental results are utilized to support and examine the advantages of proposed TFET. From the perspective of the single device, the improvement in switching characteristics and current drivability are quantitatively and qualitatively analyzed. In addition, the device performance is compared to the benchmark of previously reported TFET and co-fabricated MOSFET. Through those processes, the feasibility of SiGe nanosheet TFET is verified. It is revealed that the proposed SiGe nanosheet TFET has notable steeper switching and low leakage in the low drive voltage as an alternative to conventional MOSFET.์ดˆ๊ณ ๋ฐ€๋„ ์ง‘์ ํšŒ๋กœ ๊ธฐ์ˆ ์˜ ๋ฐœ์ „์€ ๊ณ ์ง‘์ ๋„ ๋‹ฌ์„ฑ์„ ํ†ตํ•ด ๋‹จ์œ„ ์นฉ์˜ ์—ฐ์‚ฐ ์†๋„ ๋ฐ ์šฉ๋Ÿ‰ ํ–ฅ์ƒ์— ๊ธฐ์—ฌํ•  ์†Œํ˜•์˜ ์†Œ์ž๋ฅผ ๋Š์ž„์—†์ด ์š”๊ตฌํ•˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์ตœ์‹ ์˜ ์ƒ๋ณดํ˜• ๊ธˆ์†-์‚ฐํ™”๋ง‰-๋ฐ˜๋„์ฒด (CMOS) ๊ธฐ์ˆ ์—์„œ ๊ธˆ์†-์‚ฐํ™”๋ง‰-๋ฐ˜๋„์ฒด ์ „๊ณ„ ํšจ๊ณผ ํŠธ๋žœ์ง€์Šคํ„ฐ (MOSFET) ์˜ ๋‹จ์ˆœํ•œ ์†Œํ˜•ํ™”๋Š” ๋” ์ด์ƒ ์ง‘์ ํšŒ๋กœ์˜ ์„ฑ๋Šฅ ํ–ฅ์ƒ์„ ๋ณด์žฅํ•ด ์ฃผ์ง€ ๋ชปํ•˜๊ณ  ์žˆ๋‹ค. ํŠนํžˆ ์†Œ์ž์˜ ํฌ๊ธฐ๊ฐ€ ์ค„์–ด๋“œ๋Š” ๋ฐ˜๋ฉด ์ •์  ์ „๋ ฅ ์†Œ๋ชจ๋Ÿ‰์€ ์ „์•• ์Šค์ผ€์ผ๋ง์˜ ๋‘”ํ™”๋กœ ์ธํ•ด ๊ฐ์†Œ๋˜์ง€ ์•Š๊ณ  ์žˆ๋Š” ์ƒํ™ฉ์ด๋‹ค. MOSFET์˜ ์งง์€ ์ฑ„๋„ ํšจ๊ณผ๋กœ ์ธํ•ด ์ฆ๊ฐ€๋œ ๋ˆ„์„ค ์ „๋ฅ˜๊ฐ€ ์ „์•• ์Šค์ผ€์ผ๋ง์˜ ์–ด๋ ค์›€์„ ์ฃผ๋Š” ๋Œ€ํ‘œ์  ์›์ธ์œผ๋กœ ๊ผฝํžŒ๋‹ค. ์ด๋Ÿฌํ•œ ๊ทผ๋ณธ์ ์ธ MOSFET์˜ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ง€๋‚œ 10์—ฌ๋…„๊ฐ„ ์ƒˆ๋กœ์šด ๋‹จ๊ณ„์˜ ์ „๊ณ„ ํšจ๊ณผ ํŠธ๋žœ์ง€์Šคํ„ฐ ์†Œ์ž๋“ค์ด ์—ฐ๊ตฌ๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ ์ค‘ ํ„ฐ๋„ ์ „๊ณ„ ํšจ๊ณผ ํŠธ๋žœ์ง€์Šคํ„ฐ(TFET)์€ ๊ทธ ํŠน์œ ์˜ ์šฐ์ˆ˜ํ•œ ์ „์› ํŠน์„ฑ์œผ๋กœ ๊ฐ๊ด‘๋ฐ›์•„ ์ง‘์ค‘์ ์œผ๋กœ ์—ฐ๊ตฌ๋˜๊ณ  ์žˆ๋‹ค. ๋งŽ์€ ์—ฐ๊ตฌ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , TFET์˜ ๋ถ€์กฑํ•œ ์ „๋ฅ˜ ๊ตฌ๋™ ๋Šฅ๋ ฅ์€ MOSFET์˜ ๋Œ€์ฒด์žฌ๋กœ ์ž๋ฆฌ๋งค๊น€ํ•˜๋Š” ๋ฐ ๊ฐ€์žฅ ํฐ ๋ฌธ์ œ์ ์ด ๋˜๊ณ  ์žˆ๋‹ค. ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์—์„œ๋Š” ์ƒ๊ธฐ๋œ ๋ฌธ์ œ์ ์„ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ๋Š” ์šฐ์ˆ˜ํ•œ ์ „๋ฅ˜ ๊ตฌ๋™ ๋Šฅ๋ ฅ์„ ๊ฐ€์ง„ TFET์ด ์ œ์•ˆ๋˜์—ˆ๋‹ค. ๋ฐ˜์†ก์ž ์œ ์ž…๊ณผ ๊ฒŒ์ดํŠธ ์ปจํŠธ๋กค์„ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ์ˆ˜์ง ์ ์ธต๋œ ์‹ค๋ฆฌ์ฝ˜์ €๋งˆ๋Š„(SiGe) ๋‚˜๋…ธ์‹œํŠธ ์ฑ„๋„์ด ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. ๋˜ํ•œ, ์ œ์•ˆ๋œ TFET์€ CMOS ๊ธฐ๋ฐ˜ ๊ณต์ •์„ ํ™œ์šฉํ•˜์—ฌ MOSFET๊ณผ ํ•จ๊ป˜ ์ œ์ž‘๋˜์—ˆ๋‹ค. ํ…Œํฌ๋†€๋กœ์ง€ ์ปดํ“จํ„ฐ ์ง€์› ์„ค๊ณ„(TCAD) ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ์‹ค์ œ ์ธก์ • ๊ฒฐ๊ณผ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ œ์•ˆ๋œ ์†Œ์ž์˜ ์šฐ์ˆ˜์„ฑ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋‹จ์œ„ CMOS ์†Œ์ž์˜ ๊ด€์ ์—์„œ, ์ „์› ํŠน์„ฑ๊ณผ ์ „๋ฅ˜ ๊ตฌ๋™ ๋Šฅ๋ ฅ์˜ ํ–ฅ์ƒ์„ ์ •๋Ÿ‰์ , ์ •์„ฑ์  ๋ฐฉ๋ฒ•์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ , ์ œ์ž‘๋œ ์†Œ์ž์˜ ์„ฑ๋Šฅ์„ ๊ธฐ์กด ์ œ์ž‘ ๋ฐ ๋ณด๊ณ ๋œ TFET ๋ฐ ํ•จ๊ป˜ ์ œ์ž‘๋œ MOSSFET๊ณผ ๋น„๊ตํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ๊ณผ์ •์„ ํ†ตํ•ด, ์‹ค๋ฆฌ์ฝ˜์ €๋งˆ๋Š„ ๋‚˜๋…ธ์‹œํŠธ TFET์˜ ํ™œ์šฉ ๊ฐ€๋Šฅ์„ฑ์ด ์ž…์ฆ๋˜์—ˆ๋‹ค. ์ œ์•ˆ๋œ ์‹ค๋ฆฌ์ฝ˜์ €๋งˆ๋Š„ ๋‚˜๋…ธ์‹œํŠธ ์†Œ์ž๋Š” ์ฃผ๋ชฉํ•  ๋งŒํ•œ ์ „์› ํŠน์„ฑ์„ ๊ฐ€์กŒ๊ณ  ์ €์ „์•• ๊ตฌ๋™ ํ™˜๊ฒฝ์—์„œ ํ•œ์ธต ๋” ๋‚ฎ์€ ๋ˆ„์„ค ์ „๋ฅ˜๋ฅผ ๊ฐ€์ง์œผ๋กœ์จ ํ–ฅํ›„ MOSFET์„ ๋Œ€์ฒดํ• ๋งŒํ•œ ์ถฉ๋ถ„ํ•œ ๊ฐ€๋Šฅ์„ฑ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค.Chapter 1 Introduction 1 1.1. Power Crisis of Conventional CMOS Technology 1 1.2. Tunnel Field-Effect Transistor (TFET) 6 1.3. Feasibility and Challenges of TFET 9 1.4. Scope of Thesis 11 Chapter 2 Device Characterization 13 2.1. SiGe Nanosheet TFET 13 2.2. Device Concept 15 2.3. Calibration Procedure for TCAD simulation 17 2.4. Device Verification with TCAD simulation 21 Chapter 3 Device Fabrication 31 3.1. Fabrication Process Flow 31 3.2. Key Processes for SiGe Nanosheet TFET 33 3.2.1. Key Process 1 : SiGe Nanosheet Formation 34 3.2.2. Key Process 2 : Source/Drain Implantation 41 3.2.3. Key Process 3 : High-ฮบ/Metal gate Formation 43 Chapter 4 Results and Discussion 53 4.1. Measurement Results 53 4.2. Analysis of Device Characteristics 56 4.2.1. Improved Factors to Performance in SiGe Nanosheet TFET 56 4.2.2. Performance Comparison with SiGe Nanosheet MOSFET 62 4.3. Performance Evaluation through Benchmarks 64 4.4. Optimization Plan for SiGe nanosheet TFET 66 4.4.1. Improvement of Quality of Gate Dielectric 66 4.4.2. Optimization of Doping Junction at Source 67 Chapter 5 Conclusion 71 Bibliography 73 Abstract in Korean 81 List of Publications 83Docto

    Characterization of self-heating effects and assessment of its impact on reliability in finfet technology

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    The systematically growing power (heat) dissipation in CMOS transistors with each successive technology node is reaching levels which could impact its reliable operation. The emergence of technologies such as bulk/SOI FinFETs has dramatically confined the heat in the device channel due to its vertical geometry and it is expected to further exacerbate with gate-all-around transistors. This work studies heat generation in the channel of semiconductor devices and measures its dissipation by means of wafer level characterization and predictive thermal simulation. The experimental work is based on several existing device thermometry techniques to which additional layout improvements are made in state of the art bulk FinFET and SOI FinFET 14nm technology nodes. The sensors produce excellent matching results which are confirmed through TCAD thermal simulation, differences between sensor types are quantified and error bars on measurements are established. The lateral heat transport measurements determine that heat from the source is mostly dissipated at a distance of 1ยตm and 1.5ยตm in bulk FinFET and SOI FinFET, respectively. Heat additivity is successfully confirmed to prove and highlight the fact that the whole system needs to be considered when performing thermal analysis. Furthermore, an investigation is devoted to study self-heating with different layout densities by varying the number of fins and fingers per active region (RX). Fin thermal resistance is measured at different ambient temperatures to show its variation of up to 70% between -40ยฐC to 175ยฐC. Therefore, the Si fin has a more dominant effect in heat transport and its varying thermal conductivity should be taken into account. The effect of ambient temperature on self-heating measurement is confirmed by supplying heat through thermal chuck and adjacent heater devices themselves. Motivation for this work is the continuous evolution of the transistor geometry and use of exotic materials, which in the recent technology nodes made heat removal more challenging. This poses reliability and performance concerns. Therefore, this work studies the impact of self-heating on reliability testing at DC conditions as well as realistic CMOS logic operating (AC) conditions. Front-end-of-line (FEOL) reliability mechanisms, such as hot carrier injection (HCI) and non-uniform time dependent dielectric breakdown (TDDB), are studied to show that self-heating effects can impact measurement results and recommendations are given on how to mitigate them. By performing an HCI stress at moderate bias conditions, this dissertation shows that the laborious techniques of heat subtraction are no longer necessary. Self-heating is also studied at more realistic device switching conditions by utilizing ring oscillators with several densities and stage counts to show that self-heating is considerably lower compared to constant voltage stress conditions and degradation is not distinguishable

    Broadband GaN MMIC Power Amplifiers design

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